Is Data Overload Compromising Your Security?

Is Data Overload Compromising Your Security?

Managing data is at the core of modern business. The customer data we keep to better serve their needs, information on trade secrets, proprietary algorithms and business process documentation are all fundamental to our core operations.

Meanwhile, the security of all this data relies heavily on our ability to manage high volumes in our cybersecurity operations. Each month, security departments routinely take in millions of records on security events, emerging threat reports and potential vulnerabilities on the network.

But this security data overload is becoming too overwhelming for many organizations to manage.

A recent Ponemon survey on threat intelligence revealed that while 86 percent of organizations see threat intelligence data as valuable to their mission, many face challenges handling the amount of information they receive. In monitoring their networks, companies and agencies see thousands of alerts every day, and as a result struggle to determine which events should be prioritized and receive rapid remediation.

Existing intrusions, vulnerabilities, and malware infections can go undetected within networks for long periods of time, as security professionals remain buried in reports that may not lead to significant enhancements to enterprise security.

Thus, cybersecurity finds itself at a critical juncture — one where more intelligent approaches to information management are absolutely necessary.

Many organizations are looking to machine learning and artificial intelligence to provide answers to the data overload predicament. Though still in early stages, the subfield of machine learning in cybersecurity is making swift progress. The major obstacle to security products that adapt and learn has been the constant variation in attacks that threaten systems. However, new products are beginning to offer sophisticated algorithms that learn to separate truly threatening events from less critical anomalies.

As researchers in AI begin to hone in on the next generation of security data products, introducing a cognitive aspect to the solutions, information management solutions are available that can help organizations sort through and prioritize the data they receive.

Lunarline has been at the forefront of developing intelligent data solutions, offering products that help organizations make the most of their threat intelligence, find their existing malware threats, automate their vulnerability assessments, and more.